sinusoidal_trajectory_2d_parallel#

diffct.geometry.sinusoidal_trajectory_2d_parallel(n_views, amplitude=50.0, frequency=2.0, start_angle=0.0, device='cuda', dtype=torch.float32)[source]#

Generate sinusoidal trajectory geometry for 2D parallel-beam CT.

Creates a trajectory where the detector follows a sinusoidal path while maintaining parallel rays.

Parameters:

  • n_views (int) – Number of projection views.

  • amplitude (float, optional) – Amplitude of sinusoidal detector displacement (default: 50.0).

  • frequency (float, optional) – Number of oscillation cycles per rotation (default: 2.0).

  • start_angle (float, optional) – Starting angle in radians (default: 0.0).

  • device (str or torch.device, optional) – Device for tensors (default: ‘cuda’).

  • dtype (torch.dtype, optional) – Data type for tensors (default: torch.float32).

Returns:

  • ray_dir (torch.Tensor) – Ray direction unit vectors for each view, shape (n_views, 2).

  • det_origin (torch.Tensor) – Detector origin positions for each view, shape (n_views, 2).

  • det_u_vec (torch.Tensor) – Detector u-direction unit vectors for each view, shape (n_views, 2).

Examples

>>> ray_dir, det_origin, det_u_vec = sinusoidal_trajectory_2d_parallel(
...     n_views=180, amplitude=100.0, frequency=3.0
... )